



'''simple docstring'''



import doctest
from collections import deque

import numpy as np
class 						lowerCamelCase_				:







						def __init__(	self :   List[str]					):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      [2, 1, 2, -1]
													SCREAMING_SNAKE_CASE       :   int         =      [1, 2, 3, 4]







						def        __lowercase     (	self :   Tuple					):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      len(self.first_signal					)
													SCREAMING_SNAKE_CASE       :   int         =      len(self.second_signal					)

													SCREAMING_SNAKE_CASE       :   str         =      max(lowerCAmelCase__					,     lowerCAmelCase__					)

													# create a zero matrix of max_length x max_length
													SCREAMING_SNAKE_CASE       :   Any         =      [[0] * max_length for i in range(lowerCAmelCase__					)]

													# fills the smaller signal with zeros to make both signals of same length
													if length_first_signal < length_second_signal:
																				self.first_signal += [0] * (max_length - length_first_signal)
													elif length_first_signal > length_second_signal:
																				self.second_signal += [0] * (max_length - length_second_signal)
													for i in range(lowerCAmelCase__					):
																				SCREAMING_SNAKE_CASE       :   str         =      deque(self.second_signal					)
																				rotated_signal.rotate(lowerCAmelCase__					)
																				for j, item in enumerate(lowerCAmelCase__					):
																											matrix[i][j] += item

        # multiply the matrix with the first signal
													SCREAMING_SNAKE_CASE       :   Any         =      np.matmul(np.transpose(lowerCAmelCase__					)					,     np.transpose(self.first_signal					)					)

													# rounding-off to two decimal places
													return [round(lowerCAmelCase__					,     2					) for i in final_signal]


if __name__ == "__main__":
							doctest.testmod()









'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowerCAmelCase_  :							Dict             =    {
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_  :							List[Any]             =    [
							    'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'EncodecModel',
							    'EncodecPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_encodec import (
							    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    EncodecConfig,
							)
							from .feature_extraction_encodec import EncodecFeatureExtractor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_encodec import (
														    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
														    EncodecModel,
														    EncodecPreTrainedModel,
														)

else:
							import sys

							lowerCAmelCase_  :							List[str]             =    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




